Density-adaptive range-free localization in large-scale sensor networks

Yan Ling Chu, Jau Rong Tzeng, Yung Pin Cheng, Min Te Sun

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

Location information is crucial for many applications in wireless sensor networks. While many types of localization algorithms have been proposed in the literature, the limitations on the cost and hardware of sensors have made range-free localization schemes more practical than the others. However, the previous range-free schemes have seldom considered the impact of the local node density on the single hop range (SHR) estimation. In this paper, using the local node density we redefine the SHR. On top of the new SHR, we propose a novel correction scheme, namely SHR correction scheme (SCS), for multi-hop range-free distance estimation and localization. Compared with the other range-free distance estimation and localization methods, SCS reduces the range estimation and localization error significantly, even when the number of anchors is low.

Original languageEnglish
Title of host publicationProceedings - 41st International Conference on Parallel Processing Workshops, ICPPW 2012
Pages488-495
Number of pages8
DOIs
StatePublished - 2012
Event41st International Conference on Parallel Processing Workshops, ICPPW 2012 - Pittsburgh, PA, United States
Duration: 10 Sep 201213 Sep 2012

Publication series

NameProceedings of the International Conference on Parallel Processing Workshops
ISSN (Print)1530-2016

Conference

Conference41st International Conference on Parallel Processing Workshops, ICPPW 2012
Country/TerritoryUnited States
CityPittsburgh, PA
Period10/09/1213/09/12

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